Unsloth loader can run Python even with trust disabled
CVE-2026-93348, scored 8.6, is fixed in Unsloth 2026.8.20 and Unsloth Zoo 2026.8.14.
CVE-2026-93348, scored 8.6, is fixed in Unsloth 2026.8.20 and Unsloth Zoo 2026.8.14.
The Q4_K_M build has 8B total parameters, 4B effective, and a 64K-token context.
Unsloth Studio re-checks model code, weights, packages, and tools before running a changed trusted repo.
Unsloth released GGUF weights for Google DeepMind's EmbeddingGemma 2, a 740M multimodal embedding model.
Unsloth Studio executed remote Python when users merely selected a model, letting crafted repos run code on developer machines.
Unsloth patched Studio 2026.6.9 after default remote-code trust let malicious Hugging Face models execute Python on inspection.
Quesma benchmarks Qwen3.8 27B quantizations: 4-bit Q4_K_M matches BF16 on key benchmarks while 1-bit collapses to random chance.
Community fine-tune Qwopus3.8-27B-Flash, built on Qwen3.8-27B, cuts agent reasoning latency with 12.8% faster decoding and 80.7% MTP acceptance.
A new Qwen3.8-27B GGUF fine-tune claims ARC-C 735 at 8-bit with thinking tokens cut 2x-10x versus the base model.
ISTA-DASLab releases GSQ-RCO non-uniform GGUF quantizations of Qwen3.8-27B down to 2.5 bpw, with task-lossless IQ3_S matching BF16 benchmark scores.
Qwen released Qwen3.8-Flash-Next, an experimental 125B-parameter open-weight MoE previewing the Qwen4 architecture, with Unsloth shipping optimized GGUF quants.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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